Simulation of the scheduling model for multi module progressive teaching resource database of cloud course

The problem of teaching resource scheduling is one of the main contents of the implementation of educational informatization in colleges and universities. To design an efficient teaching resource scheduling model is the goal of university administrators and educational information technology professionals. In order to improve the utilization of teaching resources and shorten the scheduling time, a scheduling model for multi module progressive teaching resources database of cloud course is designed to shorten the scheduling time. Fuzzy clustering method is used to classify the multi module progressive teaching resource database of cloud course according to different attributes, so as to shorten the search scope of scheduling tasks; taking the maximum amount of scheduling tasks and the minimum average response time as scheduling objectives, a scheduling model for multi module progressive teaching resource database of cloud course based on genetic algorithm is constructed, and the gradient is introduced to reduce the optimization and improve the scheduling data. According to the reliability goal, the scheduling of multi module progressive teaching resource database of cloud course based on genetic algorithm is realized. Simulation results show that the model can effectively reduce the average response time and improve the scheduling efficiency and teaching resource utilization.